Parallelization of Neural Networks Using PVM View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2000-08-18

AUTHORS

Mathias Quoy , Sorin Moga , Philippe Gaussier , Arnaud Revel

ABSTRACT

We use Neural Networks (NN) in order to design control architectures for autonomous mobile robots. With PVM, it is possible to spawn different parts of a NN on different workstations. Specific message passing functions using PVM are included into the NN architecture. A graphical interface helps the user spawning the NN architecture and monitors the messages exchanged between the different subparts of the NN. The message passing mechanism is efficient for real time applications. We show an example of image processing used for robot control. More... »

PAGES

289-296

References to SciGraph publications

  • 1999. A Neural Structure for Learning by Imitation in ADVANCES IN ARTIFICIAL LIFE
  • 1999. A Neural Model for the Visual Navigation and Planning of a Mobile Robot in ADVANCES IN ARTIFICIAL LIFE
  • Book

    TITLE

    Recent Advances in Parallel Virtual Machine and Message Passing Interface

    ISBN

    978-3-540-41010-2
    978-3-540-45255-3

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/3-540-45255-9_40

    DOI

    http://dx.doi.org/10.1007/3-540-45255-9_40

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1029132096


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